14-day cumulative number of COVID-19 cases per 100 000¶
At the end of the page, we provide a detailed description of how the numbers are calculated.
Compute data¶
In [1]:
# geospatial plotting deps
import branca.colormap as cm
import folium
import geopandas as gpd
import numpy as np
import pandas as pd
pd.set_option("max_rows", None)
from oscovida import fetch_cases, get_population, get_country_data, fetch_cases_last_execution
# get a list of all country names
countries = fetch_cases().index.drop_duplicates()
data = []
for region in countries:
c, _, _ = get_country_data(region) # get cumulative infections c
c = c[-15:]
try:
population = get_population(region)
new_cases = int(c[-1] - c[-15])
incidence = new_cases / population * 100000.
data += [(region, population, new_cases, round(incidence, 1))]
except:
print(f"Skip {region}") # skip regions for which we have no population numbers
data.sort(key=lambda x: x[3], reverse=True)
# turn into pandas DataFrame for easier display
table = pd.DataFrame(data, columns=["country", "population", "new cases", "14-day-incidence"]).set_index("country")
# Show last update date
import time
print(f"Last updated {time.asctime()}")
Skip Diamond Princess Skip MS Zaandam Last updated Sat Aug 15 09:45:09 2020
Table for all countries¶
In [2]:
table.sort_index()
Out[2]:
| population | new cases | 14-day-incidence | |
|---|---|---|---|
| country | |||
| Afghanistan | 38928341 | 756 | 1.9 |
| Albania | 2877800 | 1841 | 64.0 |
| Algeria | 43851043 | 7270 | 16.6 |
| Andorra | 77265 | 64 | 82.8 |
| Angola | 32866268 | 704 | 2.1 |
| Antigua and Barbuda | 97928 | 2 | 2.0 |
| Argentina | 45195777 | 91135 | 201.6 |
| Armenia | 2963234 | 2749 | 92.8 |
| Australia | 25459700 | 5755 | 22.6 |
| Austria | 9006400 | 1746 | 19.4 |
| Azerbaijan | 10139175 | 2140 | 21.1 |
| Bahamas | 393248 | 545 | 138.6 |
| Bahrain | 1701583 | 5070 | 298.0 |
| Bangladesh | 164689383 | 34220 | 20.8 |
| Barbados | 287371 | 38 | 13.2 |
| Belarus | 9449321 | 1500 | 15.9 |
| Belgium | 11589616 | 8362 | 72.2 |
| Belize | 397621 | 308 | 77.5 |
| Benin | 12123198 | 209 | 1.7 |
| Bhutan | 771612 | 32 | 4.1 |
| Bolivia | 11673029 | 21161 | 181.3 |
| Bosnia and Herzegovina | 3280815 | 3659 | 111.5 |
| Botswana | 2351625 | 410 | 17.4 |
| Brazil | 212559409 | 563958 | 265.3 |
| Brunei | 437483 | 1 | 0.2 |
| Bulgaria | 6948445 | 2553 | 36.7 |
| Burkina Faso | 20903278 | 132 | 0.6 |
| Burma | 54409794 | 21 | 0.0 |
| Burundi | 11890781 | 25 | 0.2 |
| Cabo Verde | 555988 | 685 | 123.2 |
| Cambodia | 16718971 | 34 | 0.2 |
| Cameroon | 26545864 | 1214 | 4.6 |
| Canada | 37855702 | 5324 | 14.1 |
| Central African Republic | 4829764 | 44 | 0.9 |
| Chad | 16425859 | 15 | 0.1 |
| Chile | 19116209 | 26444 | 138.3 |
| China | 1404676330 | 1559 | 0.1 |
| Colombia | 50882884 | 149603 | 294.0 |
| Comoros | 869595 | 25 | 2.9 |
| Congo (Brazzaville) | 5518092 | 545 | 9.9 |
| Congo (Kinshasa) | 89561404 | 535 | 0.6 |
| Costa Rica | 5094114 | 9111 | 178.9 |
| Cote d'Ivoire | 26378275 | 888 | 3.4 |
| Croatia | 4105268 | 1119 | 27.3 |
| Cuba | 11326616 | 621 | 5.5 |
| Cyprus | 1207361 | 204 | 16.9 |
| Czechia | 10708982 | 3119 | 29.1 |
| Denmark | 5792203 | 1730 | 29.9 |
| Djibouti | 988002 | 283 | 28.6 |
| Dominica | 71991 | 0 | 0.0 |
| Dominican Republic | 10847904 | 14839 | 136.8 |
| Ecuador | 17643060 | 14054 | 79.7 |
| Egypt | 102334403 | 2142 | 2.1 |
| El Salvador | 6486201 | 5682 | 87.6 |
| Equatorial Guinea | 1402985 | 0 | 0.0 |
| Eritrea | 3546427 | 6 | 0.2 |
| Estonia | 1326539 | 113 | 8.5 |
| Eswatini | 1160164 | 1022 | 88.1 |
| Ethiopia | 114963583 | 9712 | 8.4 |
| Fiji | 896444 | 1 | 0.1 |
| Finland | 5540718 | 268 | 4.8 |
| France | 65273512 | 24458 | 37.5 |
| Gabon | 2225728 | 873 | 39.2 |
| Gambia | 2416664 | 1125 | 46.6 |
| Georgia | 3989175 | 138 | 3.5 |
| Germany | 83128805 | 13392 | 16.1 |
| Ghana | 31072945 | 6346 | 20.4 |
| Greece | 10423056 | 2155 | 20.7 |
| Grenada | 112519 | 0 | 0.0 |
| Guatemala | 17915567 | 11639 | 65.0 |
| Guinea | 13132792 | 952 | 7.2 |
| Guinea-Bissau | 1967998 | 107 | 5.4 |
| Guyana | 786559 | 236 | 30.0 |
| Haiti | 11402533 | 386 | 3.4 |
| Holy See | 809 | 0 | 0.0 |
| Honduras | 9904608 | 7453 | 75.2 |
| Hungary | 9660350 | 348 | 3.6 |
| Iceland | 341250 | 98 | 28.7 |
| India | 1380004385 | 829934 | 60.1 |
| Indonesia | 273523621 | 26747 | 9.8 |
| Iran | 83992953 | 34621 | 41.2 |
| Iraq | 40222503 | 43681 | 108.6 |
| Ireland | 4937796 | 930 | 18.8 |
| Israel | 8655541 | 20110 | 232.3 |
| Italy | 60461828 | 5272 | 8.7 |
| Jamaica | 2961161 | 204 | 6.9 |
| Japan | 126476458 | 17584 | 13.9 |
| Jordan | 10203140 | 136 | 1.3 |
| Kazakhstan | 18776707 | 11920 | 63.5 |
| Kenya | 53771300 | 8698 | 16.2 |
| Korea, South | 51269183 | 703 | 1.4 |
| Kosovo | 1810366 | 3026 | 167.1 |
| Kuwait | 4270563 | 8228 | 192.7 |
| Kyrgyzstan | 6524191 | 5568 | 85.3 |
| Laos | 7275556 | 2 | 0.0 |
| Latvia | 1886202 | 77 | 4.1 |
| Lebanon | 6825442 | 3490 | 51.1 |
| Lesotho | 2142252 | 280 | 13.1 |
| Liberia | 5057677 | 66 | 1.3 |
| Libya | 6871287 | 3706 | 53.9 |
| Liechtenstein | 38137 | 3 | 7.9 |
| Lithuania | 2722291 | 277 | 10.2 |
| Luxembourg | 625976 | 710 | 113.4 |
| Madagascar | 27691019 | 2775 | 10.0 |
| Malawi | 19129955 | 910 | 4.8 |
| Malaysia | 32365998 | 173 | 0.5 |
| Maldives | 540542 | 1779 | 329.1 |
| Mali | 20250834 | 62 | 0.3 |
| Malta | 441539 | 452 | 102.4 |
| Mauritania | 4649660 | 366 | 7.9 |
| Mauritius | 1271767 | 1 | 0.1 |
| Mexico | 127792286 | 86732 | 67.9 |
| Moldova | 4033963 | 4750 | 117.8 |
| Monaco | 39244 | 26 | 66.3 |
| Mongolia | 3278292 | 7 | 0.2 |
| Montenegro | 628062 | 857 | 136.5 |
| Morocco | 36910558 | 14919 | 40.4 |
| Mozambique | 31255435 | 844 | 2.7 |
| Namibia | 2540916 | 1597 | 62.9 |
| Nepal | 29136808 | 5780 | 19.8 |
| Netherlands | 17134873 | 8537 | 49.8 |
| New Zealand | 4822233 | 47 | 1.0 |
| Nicaragua | 6624554 | 443 | 6.7 |
| Niger | 24206636 | 27 | 0.1 |
| Nigeria | 206139587 | 5294 | 2.6 |
| North Macedonia | 2083380 | 1761 | 84.5 |
| Norway | 5421242 | 668 | 12.3 |
| Oman | 5106622 | 3584 | 70.2 |
| Pakistan | 220892331 | 8995 | 4.1 |
| Panama | 4314768 | 14146 | 327.9 |
| Papua New Guinea | 8947027 | 199 | 2.2 |
| Paraguay | 7132530 | 3684 | 51.7 |
| Peru | 32971846 | 108804 | 330.0 |
| Philippines | 109581085 | 60306 | 55.0 |
| Poland | 37846605 | 9631 | 25.4 |
| Portugal | 10196707 | 2711 | 26.6 |
| Qatar | 2881060 | 3837 | 133.2 |
| Romania | 19237682 | 17160 | 89.2 |
| Russia | 145934460 | 72317 | 49.6 |
| Rwanda | 12952209 | 271 | 2.1 |
| Saint Kitts and Nevis | 53192 | 0 | 0.0 |
| Saint Lucia | 183629 | 0 | 0.0 |
| Saint Vincent and the Grenadines | 110947 | 3 | 2.7 |
| San Marino | 33938 | 0 | 0.0 |
| Sao Tome and Principe | 219161 | 14 | 6.4 |
| Saudi Arabia | 34813867 | 19997 | 57.4 |
| Senegal | 16743930 | 1640 | 9.8 |
| Serbia | 8737370 | 3681 | 42.1 |
| Seychelles | 98340 | 13 | 13.2 |
| Sierra Leone | 7976985 | 124 | 1.6 |
| Singapore | 5850343 | 3375 | 57.7 |
| Slovakia | 5459643 | 509 | 9.3 |
| Slovenia | 2078932 | 213 | 10.2 |
| Somalia | 15893219 | 38 | 0.2 |
| South Africa | 59308690 | 85957 | 144.9 |
| South Sudan | 11193729 | 160 | 1.4 |
| Spain | 46754783 | 54291 | 116.1 |
| Sri Lanka | 21413250 | 71 | 0.3 |
| Sudan | 43849269 | 518 | 1.2 |
| Suriname | 586634 | 1188 | 202.5 |
| Sweden | 10099270 | 3872 | 38.3 |
| Switzerland | 8654618 | 2439 | 28.2 |
| Syria | 17500657 | 758 | 4.3 |
| Taiwan* | 23816775 | 14 | 0.1 |
| Tajikistan | 9537642 | 580 | 6.1 |
| Tanzania | 59734213 | 0 | 0.0 |
| Thailand | 69799978 | 66 | 0.1 |
| Timor-Leste | 1318442 | 1 | 0.1 |
| Togo | 8278737 | 183 | 2.2 |
| Trinidad and Tobago | 1399491 | 257 | 18.4 |
| Tunisia | 11818618 | 368 | 3.1 |
| Turkey | 84339067 | 15988 | 19.0 |
| US | 329466283 | 750948 | 227.9 |
| Uganda | 45741000 | 231 | 0.5 |
| Ukraine | 43733759 | 18513 | 42.3 |
| United Arab Emirates | 9890400 | 3313 | 33.5 |
| United Kingdom | 67886004 | 10828 | 16.0 |
| Uruguay | 3473727 | 157 | 4.5 |
| Uzbekistan | 33469199 | 9812 | 29.3 |
| Venezuela | 28435943 | 12807 | 45.0 |
| Vietnam | 97338583 | 372 | 0.4 |
| West Bank and Gaza | 5101416 | 3997 | 78.4 |
| Western Sahara | 597330 | 0 | 0.0 |
| Yemen | 29825968 | 130 | 0.4 |
| Zambia | 18383956 | 3058 | 16.6 |
| Zimbabwe | 14862927 | 1903 | 12.8 |
Table sorted by 14-day-incidence¶
In [3]:
table
Out[3]:
| population | new cases | 14-day-incidence | |
|---|---|---|---|
| country | |||
| Peru | 32971846 | 108804 | 330.0 |
| Maldives | 540542 | 1779 | 329.1 |
| Panama | 4314768 | 14146 | 327.9 |
| Bahrain | 1701583 | 5070 | 298.0 |
| Colombia | 50882884 | 149603 | 294.0 |
| Brazil | 212559409 | 563958 | 265.3 |
| Israel | 8655541 | 20110 | 232.3 |
| US | 329466283 | 750948 | 227.9 |
| Suriname | 586634 | 1188 | 202.5 |
| Argentina | 45195777 | 91135 | 201.6 |
| Kuwait | 4270563 | 8228 | 192.7 |
| Bolivia | 11673029 | 21161 | 181.3 |
| Costa Rica | 5094114 | 9111 | 178.9 |
| Kosovo | 1810366 | 3026 | 167.1 |
| South Africa | 59308690 | 85957 | 144.9 |
| Bahamas | 393248 | 545 | 138.6 |
| Chile | 19116209 | 26444 | 138.3 |
| Dominican Republic | 10847904 | 14839 | 136.8 |
| Montenegro | 628062 | 857 | 136.5 |
| Qatar | 2881060 | 3837 | 133.2 |
| Cabo Verde | 555988 | 685 | 123.2 |
| Moldova | 4033963 | 4750 | 117.8 |
| Spain | 46754783 | 54291 | 116.1 |
| Luxembourg | 625976 | 710 | 113.4 |
| Bosnia and Herzegovina | 3280815 | 3659 | 111.5 |
| Iraq | 40222503 | 43681 | 108.6 |
| Malta | 441539 | 452 | 102.4 |
| Armenia | 2963234 | 2749 | 92.8 |
| Romania | 19237682 | 17160 | 89.2 |
| Eswatini | 1160164 | 1022 | 88.1 |
| El Salvador | 6486201 | 5682 | 87.6 |
| Kyrgyzstan | 6524191 | 5568 | 85.3 |
| North Macedonia | 2083380 | 1761 | 84.5 |
| Andorra | 77265 | 64 | 82.8 |
| Ecuador | 17643060 | 14054 | 79.7 |
| West Bank and Gaza | 5101416 | 3997 | 78.4 |
| Belize | 397621 | 308 | 77.5 |
| Honduras | 9904608 | 7453 | 75.2 |
| Belgium | 11589616 | 8362 | 72.2 |
| Oman | 5106622 | 3584 | 70.2 |
| Mexico | 127792286 | 86732 | 67.9 |
| Monaco | 39244 | 26 | 66.3 |
| Guatemala | 17915567 | 11639 | 65.0 |
| Albania | 2877800 | 1841 | 64.0 |
| Kazakhstan | 18776707 | 11920 | 63.5 |
| Namibia | 2540916 | 1597 | 62.9 |
| India | 1380004385 | 829934 | 60.1 |
| Singapore | 5850343 | 3375 | 57.7 |
| Saudi Arabia | 34813867 | 19997 | 57.4 |
| Philippines | 109581085 | 60306 | 55.0 |
| Libya | 6871287 | 3706 | 53.9 |
| Paraguay | 7132530 | 3684 | 51.7 |
| Lebanon | 6825442 | 3490 | 51.1 |
| Netherlands | 17134873 | 8537 | 49.8 |
| Russia | 145934460 | 72317 | 49.6 |
| Gambia | 2416664 | 1125 | 46.6 |
| Venezuela | 28435943 | 12807 | 45.0 |
| Ukraine | 43733759 | 18513 | 42.3 |
| Serbia | 8737370 | 3681 | 42.1 |
| Iran | 83992953 | 34621 | 41.2 |
| Morocco | 36910558 | 14919 | 40.4 |
| Gabon | 2225728 | 873 | 39.2 |
| Sweden | 10099270 | 3872 | 38.3 |
| France | 65273512 | 24458 | 37.5 |
| Bulgaria | 6948445 | 2553 | 36.7 |
| United Arab Emirates | 9890400 | 3313 | 33.5 |
| Guyana | 786559 | 236 | 30.0 |
| Denmark | 5792203 | 1730 | 29.9 |
| Uzbekistan | 33469199 | 9812 | 29.3 |
| Czechia | 10708982 | 3119 | 29.1 |
| Iceland | 341250 | 98 | 28.7 |
| Djibouti | 988002 | 283 | 28.6 |
| Switzerland | 8654618 | 2439 | 28.2 |
| Croatia | 4105268 | 1119 | 27.3 |
| Portugal | 10196707 | 2711 | 26.6 |
| Poland | 37846605 | 9631 | 25.4 |
| Australia | 25459700 | 5755 | 22.6 |
| Azerbaijan | 10139175 | 2140 | 21.1 |
| Bangladesh | 164689383 | 34220 | 20.8 |
| Greece | 10423056 | 2155 | 20.7 |
| Ghana | 31072945 | 6346 | 20.4 |
| Nepal | 29136808 | 5780 | 19.8 |
| Austria | 9006400 | 1746 | 19.4 |
| Turkey | 84339067 | 15988 | 19.0 |
| Ireland | 4937796 | 930 | 18.8 |
| Trinidad and Tobago | 1399491 | 257 | 18.4 |
| Botswana | 2351625 | 410 | 17.4 |
| Cyprus | 1207361 | 204 | 16.9 |
| Algeria | 43851043 | 7270 | 16.6 |
| Zambia | 18383956 | 3058 | 16.6 |
| Kenya | 53771300 | 8698 | 16.2 |
| Germany | 83128805 | 13392 | 16.1 |
| United Kingdom | 67886004 | 10828 | 16.0 |
| Belarus | 9449321 | 1500 | 15.9 |
| Canada | 37855702 | 5324 | 14.1 |
| Japan | 126476458 | 17584 | 13.9 |
| Barbados | 287371 | 38 | 13.2 |
| Seychelles | 98340 | 13 | 13.2 |
| Lesotho | 2142252 | 280 | 13.1 |
| Zimbabwe | 14862927 | 1903 | 12.8 |
| Norway | 5421242 | 668 | 12.3 |
| Lithuania | 2722291 | 277 | 10.2 |
| Slovenia | 2078932 | 213 | 10.2 |
| Madagascar | 27691019 | 2775 | 10.0 |
| Congo (Brazzaville) | 5518092 | 545 | 9.9 |
| Indonesia | 273523621 | 26747 | 9.8 |
| Senegal | 16743930 | 1640 | 9.8 |
| Slovakia | 5459643 | 509 | 9.3 |
| Italy | 60461828 | 5272 | 8.7 |
| Estonia | 1326539 | 113 | 8.5 |
| Ethiopia | 114963583 | 9712 | 8.4 |
| Liechtenstein | 38137 | 3 | 7.9 |
| Mauritania | 4649660 | 366 | 7.9 |
| Guinea | 13132792 | 952 | 7.2 |
| Jamaica | 2961161 | 204 | 6.9 |
| Nicaragua | 6624554 | 443 | 6.7 |
| Sao Tome and Principe | 219161 | 14 | 6.4 |
| Tajikistan | 9537642 | 580 | 6.1 |
| Cuba | 11326616 | 621 | 5.5 |
| Guinea-Bissau | 1967998 | 107 | 5.4 |
| Finland | 5540718 | 268 | 4.8 |
| Malawi | 19129955 | 910 | 4.8 |
| Cameroon | 26545864 | 1214 | 4.6 |
| Uruguay | 3473727 | 157 | 4.5 |
| Syria | 17500657 | 758 | 4.3 |
| Bhutan | 771612 | 32 | 4.1 |
| Latvia | 1886202 | 77 | 4.1 |
| Pakistan | 220892331 | 8995 | 4.1 |
| Hungary | 9660350 | 348 | 3.6 |
| Georgia | 3989175 | 138 | 3.5 |
| Cote d'Ivoire | 26378275 | 888 | 3.4 |
| Haiti | 11402533 | 386 | 3.4 |
| Tunisia | 11818618 | 368 | 3.1 |
| Comoros | 869595 | 25 | 2.9 |
| Mozambique | 31255435 | 844 | 2.7 |
| Saint Vincent and the Grenadines | 110947 | 3 | 2.7 |
| Nigeria | 206139587 | 5294 | 2.6 |
| Papua New Guinea | 8947027 | 199 | 2.2 |
| Togo | 8278737 | 183 | 2.2 |
| Angola | 32866268 | 704 | 2.1 |
| Egypt | 102334403 | 2142 | 2.1 |
| Rwanda | 12952209 | 271 | 2.1 |
| Antigua and Barbuda | 97928 | 2 | 2.0 |
| Afghanistan | 38928341 | 756 | 1.9 |
| Benin | 12123198 | 209 | 1.7 |
| Sierra Leone | 7976985 | 124 | 1.6 |
| Korea, South | 51269183 | 703 | 1.4 |
| South Sudan | 11193729 | 160 | 1.4 |
| Jordan | 10203140 | 136 | 1.3 |
| Liberia | 5057677 | 66 | 1.3 |
| Sudan | 43849269 | 518 | 1.2 |
| New Zealand | 4822233 | 47 | 1.0 |
| Central African Republic | 4829764 | 44 | 0.9 |
| Burkina Faso | 20903278 | 132 | 0.6 |
| Congo (Kinshasa) | 89561404 | 535 | 0.6 |
| Malaysia | 32365998 | 173 | 0.5 |
| Uganda | 45741000 | 231 | 0.5 |
| Vietnam | 97338583 | 372 | 0.4 |
| Yemen | 29825968 | 130 | 0.4 |
| Mali | 20250834 | 62 | 0.3 |
| Sri Lanka | 21413250 | 71 | 0.3 |
| Brunei | 437483 | 1 | 0.2 |
| Burundi | 11890781 | 25 | 0.2 |
| Cambodia | 16718971 | 34 | 0.2 |
| Eritrea | 3546427 | 6 | 0.2 |
| Mongolia | 3278292 | 7 | 0.2 |
| Somalia | 15893219 | 38 | 0.2 |
| Chad | 16425859 | 15 | 0.1 |
| China | 1404676330 | 1559 | 0.1 |
| Fiji | 896444 | 1 | 0.1 |
| Mauritius | 1271767 | 1 | 0.1 |
| Niger | 24206636 | 27 | 0.1 |
| Taiwan* | 23816775 | 14 | 0.1 |
| Thailand | 69799978 | 66 | 0.1 |
| Timor-Leste | 1318442 | 1 | 0.1 |
| Burma | 54409794 | 21 | 0.0 |
| Dominica | 71991 | 0 | 0.0 |
| Equatorial Guinea | 1402985 | 0 | 0.0 |
| Grenada | 112519 | 0 | 0.0 |
| Holy See | 809 | 0 | 0.0 |
| Laos | 7275556 | 2 | 0.0 |
| Saint Kitts and Nevis | 53192 | 0 | 0.0 |
| Saint Lucia | 183629 | 0 | 0.0 |
| San Marino | 33938 | 0 | 0.0 |
| Tanzania | 59734213 | 0 | 0.0 |
| Western Sahara | 597330 | 0 | 0.0 |
Geospatial Plot¶
In [4]:
countries = gpd.read_file("./.country_shapes/countries.shp")
countries = countries.rename(columns={'CNTRY_NAME': 'country'})
In [5]:
countries_geospatial = countries.merge(table, on='country')
In [6]:
countries_geospatial.plot(column='14-day-incidence')
Out[6]:
<matplotlib.axes._subplots.AxesSubplot at 0x7f2bb4e1ff10>
Tutorial: Detailed calculation for one country¶
In [7]:
cases, deaths, label = get_country_data("Germany")
Cumulative cases yesterday (numbers for today are not known yet):
In [8]:
c_y = cases[-1]
c_y
Out[8]:
223791
Cumulative cases 15 days ago (i.e. 14 days before yesterday)
In [9]:
c_15 = cases[-15]
c_15
Out[9]:
210399
New cases from the last 14 days
In [10]:
c_new = c_y - c_15
c_new
Out[10]:
13392
Get the population data
In [11]:
population = get_population("Germany")
population
Out[11]:
83128805
Compute the 14-day incidence per 100000, i.e. the cumulative number of new infections in the last 14 days, normalised by the countries population in units of 100000:
In [12]:
incidence = c_new / (population/100000)
incidence
Out[12]:
16.10993926834387
This should compare to Compute numbers as they are provided, for example at https://www.ecdc.europa.eu/en/cases-2019-ncov-eueea (assuming the infection numbers from ECDE and JHU are identical).
In [13]:
# For debugging: When was the data downloaded
fetch_cases_last_execution()
Out[13]:
'15/08/2020 09:13:06'